---
title: "Varshith Bathini - Senior AI Engineer in India | Tal"
description: "Meet Varshith Bathini, Senior AI Engineer | LLMs, AI Agents & Generative AI | Full-Stack ML | IIT Madras based in India. AI stack includes codex, cursor, and opencode. Explore public work links including github."
image: "https://tal.club/meet/varshith-bathini/share-image"
---

# Varshith Bathini on Tal

## Headline

Senior AI Engineer \| LLMs, AI Agents & Generative AI \| Full\-Stack ML \| IIT Madras

## About

Senior AI Engineer with 5\+ years building end\-to\-end AI systems — from data curation, model training and fine\-tuning to inference optimization and production deployment\. Currently at Livepeer working on real\-time video diffusion models and AI infrastructure\. Previously at Sprinklr \(4\+ years\) building production ML at scale — LLM agents, NLP, computer vision, and ML infrastructure serving enterprise clients\. I go beyond black\-box usage — I understand the full stack from model architecture to GPU serving and like to build systems that are fast, reliable, and cost\-efficient\. Areas: LLMs, AI Agents, Generative AI, Diffusion Models, NLP, Computer Vision, Model Training & Fine\-Tuning, Inference Optimization, TensorRT, PyTorch, Transformers, MLOps, Distributed Systems Open to Senior AI/ML Engineer, Forward Deployed Engineer, Applied AI Scientist, or Founding Engineer roles\.

## Location

India

## AI stack

codex

cursor

opencode

## Work experience

Senior AI Engineer at Livepeer Studio, Nov 2024 \- Present · 1 yr 10 mos, Remote, Generative AI, Video and Image Diffusion models, model training & fine\-tuning, TensorRT, inference optimization, quantization, ControlNets, AI infrastructure

Lead Product Engineer \| AI Team at Sprinklr, Apr 2023 \- Nov 2024 · 1 yr 8 mos, Led ML infrastructure — made in\-house LLM serving 10x cheaper than GPT\-3\.5/4 and built frameworks that boosted GPU throughput 4x across all services\. LLM agents, inference optimization \(TensorRT, vLLM, speculative decoding\), GPU serving, ML infrastructure, throughput & latency optimization

Senior Product Engineer \| AI Team at Sprinklr, Aug 2022 \- Apr 2023 · 9 mos, Worked on production NLP services as part of small \(2\-3 person\) teams — including a next\-word suggestion engine serving under 100ms, a context\-aware response generation system on GPT\-2, grammar correction service built with T5 model\. Smart Compose, Smart Reply, Voice Agent Assist, GPT\-2, wav2vec2, NLP, MQTT, encoder\-decoder models \(T5\), real\-time serving \(MQTT, gRPC\)

Product Engineer \| AI Team at Sprinklr, Aug 2020 \- Aug 2022 · 2 yrs 1 mo, Contributed to a couple of production ML services across NLP and computer vision — including a logo detection service outperforming Google Cloud Vision across 5000\+ logos\. Computer Vision \(YOLOv5\)

Summer Intern at American Express, May 2019 \- Jul 2019 · 3 mos, Bengaluru Area, India, Developed a robust and efficient API using Spring Boot, facilitating seamless synchronization of data between a bunch of dynamic web pages and an internal database to eliminate manual effort, ensuring data consistency and integrity\.

Summer Intern at Godot Media, May 2018 \- Jul 2018 · 3 mos, Bengaluru, Karnataka, India, Developed a search functionality built on top of Elastic Search, including auto\-suggest features to enhance user navigation on a website\. Additionally, designed a personalized recommendations system on a large database by implementing data clustering and ranking algorithms, boosting user engagement and delivering tailored experiences\.

## Education

Bachelor of Technology \- BTech, Computer Science, Indian Institute of Technology, Madras

## Public links

- github: https://github\.com/varshith15

[View the original profile](https://tal.club/meet/varshith-bathini)

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